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DBMS > Elasticsearch vs. Google Cloud Datastore vs. Microsoft Access vs. OpenQM vs. SiriDB

System Properties Comparison Elasticsearch vs. Google Cloud Datastore vs. Microsoft Access vs. OpenQM vs. SiriDB

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)QpenQM is a high-performance, self-tuning, multi-value DBMSOpen Source Time Series DBMS
Primary database modelSearch engineDocument storeRelational DBMSMultivalue DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score4.36
Rank#72  Overall
#12  Document stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websitewww.elastic.co/­elasticsearchcloud.google.com/­datastorewww.microsoft.com/­en-us/­microsoft-365/­accesswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmsiridb.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcloud.google.com/­datastore/­docsdeveloper.microsoft.com/­en-us/­accessdocs.siridb.com
DeveloperElasticGoogleMicrosoftRocket Software, originally Martin PhillipsCesbit
Initial release20102008199219932017
Current release8.6, January 20231902 (16.0.11328.20222), March 20193.4-12
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoGPLv2, extended commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C
Server operating systemsAll OS with a Java VMhostedWindows infoNot a real database server, but making use of DLLsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyes infoNumeric data
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesno
Secondary indexesyes infoAll search fields are automatically indexedyesyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (GQL)yes infobut not compliant to any SQL standardnono
APIs and other access methodsJava API
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Basic
C
Java
Objective C
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesusing Google App Engineyes infosince Access 2010 using the ACE-engineyesno
Triggersyes infoby using the 'percolation' featureCallbacks using the Google Apps Engineyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using Paxosnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infobut no files for transaction loggingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no infoa simple user-level security was built in till version Access 2003Access rights can be defined down to the item levelsimple rights management via user accounts

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More resources
ElasticsearchGoogle Cloud DatastoreMicrosoft AccessOpenQM infoalso called QMSiriDB
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